Melds genome-wide association tests with structural equation modeling (SEM) using 'OpenMx'. This package contains low-level C/C++ code to rapidly read genetic data encoded in U.K. Biobank or 'plink' formats. Prebuilt modeling options include one and two factor models. Alternately, analyses may utilize arbitrary, user-provided SEMs. See Verhulst, Maes, & Neale (2017) <doi:10.1007/s10519-017-9842-6> for details. An updated manuscript is in preparation.
Version: | 2.0.5 |
Depends: | R (≥ 3.5), OpenMx (≥ 2.15.5) |
Imports: | data.table, methods, qqman, Rcpp, lifecycle |
LinkingTo: | BH (≥ 1.69.0-1), Rcpp |
Suggests: | testthat (≥ 2.1.0), MASS, covr, knitr, rmarkdown, curl |
Published: | 2020-06-14 |
Author: | Joshua N. Pritikin [aut, cre], Bradley Verhulst [cph], Gavin Band [cph], Yann Collet [cph], Facebook, Inc. [cph], Yuta Mori [cph], Shaun Purcell [cph], Christopher Chang [cph], Wojciech Mula [cph], Kim Walisch [cph] |
Maintainer: | Joshua N. Pritikin <jpritikin at pobox.com> |
BugReports: | https://github.com/jpritikin/gwsem/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/jpritikin/gwsem |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | gwsem results |
Reference manual: | gwsem.pdf |
Vignettes: |
GxE GWAS Single Factor GWAS Post GWAS Single Factor Residuals GWAS Standard GWAS Two Factor GWAS Custom GWAS growth |
Package source: | gwsem_2.0.5.tar.gz |
Windows binaries: | r-devel: gwsem_2.0.5.zip, r-release: gwsem_2.0.5.zip, r-oldrel: gwsem_2.0.5.zip |
macOS binaries: | r-release: gwsem_2.0.5.tgz, r-oldrel: gwsem_2.0.5.tgz |
Old sources: | gwsem archive |
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